Spectral analysis of photoplethysmography based on EEMD method

Author

Shang-Yi Chuang ; Jia-Ju Liao ; Chia-Ching Chou ; Chia-Chi Chang ; Wai-Chi Fang

fYear

2015

Firstpage

224

Lastpage

225

Abstract

In this paper, the proposed algorithm based on Hilbert-Huang Transform (HHT) is used to analyze the photoplethysmography (PPG) signal. In fact, PPG is nonlinear and nonstationary signal which is suitable for HHT method to achieve the capability of precise decomposition. The time series data are decomposed into Intrinsic Mode Function (IMF) with Ensemble Empirical Mode Decomposition (EEMD) algorithm. This study proposed a novel instantaneous pulse rate variability (iPRV) measurement based on EEMD method to analyze the very high frequency band (0.4-0.9Hz) of IMF5 which contains heart rhythm component.

Keywords

cardiology; medical signal processing; photoplethysmography; spectral analysis; time series; transforms; EEMD algorithm; EEMD method; HHT; Hilbert-Huang Transform; IMF; PPG spectral analysis; ensemble empirical mode decomposition; frequency 0.4 Hz to 0.9 Hz; heart rhythm component; iPRV measurement; instantaneous pulse rate variability; intrinsic mode function; nonlinear PPG signal; nonstationary PPG signal; photoplethysmography; signal decomposition; time series data; very high frequency band; Autonomic nervous system; Empirical mode decomposition; Frequency measurement; Heart rate; Resonant frequency; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on

Conference_Location

Taipei

Type

conf

DOI

10.1109/ICCE-TW.2015.7216867

Filename

7216867